Abstract
In dealing with questionnaires concerning satisfaction , quality perception , attitude, judgement , etc., the fuzzy rating scale has been introduced as a flexible way to respond to questionnaires’ items. Designs for this type of questionnaires are often based on Likert scales. This paper aims to examine three different real-life examples in which respondents have been allowed to doubly answer: in accordance with either a fuzzy rating scale or a Likert one. By considering a minimum distance-based criterion, each of the fuzzy rating scale answers is associated with one of the Likert scale labels. The percentages of coincidences between the two responses in the double answer are computed by the criterion-based association. Some empirical conclusions are drawn from the computation of such percentages.
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De la Rosa de Sáa S, Gil MA, González-Rodríguez G, López MT, Lubiano MA (2015) Fuzzy rating scale-based questionnaires and their statistical analysis. IEEE T Fuzzy Syst 23:111–126
Diamond P, Kloeden P (1999) Metric spaces of fuzzy sets. Fuzzy Sets Syst 100:63–71
Gil MA, Lubiano MA, De la Rosa de Sáa S, Sinova B (2015) Analyzing data from a fuzzy rating scale-based questionnaire. A case study. Psicothema 27:182–191
Hesketh T, Hesketh B (1994) Computerized fuzzy ratings: the concept of a fuzzy class. Behav Res Meth Ins C 26:272–277
Hesketh T, Pryor R, Hesketh B (1988) An application of a computerized fuzzy graphic rating scale to the psychological measurement of individual differences. Int J Man-Mach Stud 29:21–35
Lubiano MA, De la Rosa de Sáa S, Montenegro M, Sinova B, Gil MA (2016) Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale? Inform Sci 360:131–148
Lubiano MA, Montenegro M, Sinova B, De la Rosa de Sáa S, Gil MA (2016) Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications. Eur J Oper Res 251:918–929
Acknowledgments
Authors are grateful to Colegio San Ignacio in Oviedo-Asturias (Spain) for allowing us to collect the data in the real-life example. The research in this paper has been partially supported by/benefited from Principality of Asturias Grants GRUPIN14-101 and Severo Ochoa BP12012 (De la Rosa de Sáa), and the Spanish Ministry of Economy and Competitiveness Grants MTM2015-63971-P and MTM2013-44212-P. Their financial support is gratefully acknowledged.
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Lubiano, M.A., Salas, A., De la Rosa de Sáa, S., Montenegro, M., Gil, M.Á. (2017). An Empirical Analysis of the Coherence Between Fuzzy Rating Scale- and Likert Scale-Based Responses to Questionnaires. In: Ferraro, M., et al. Soft Methods for Data Science. SMPS 2016. Advances in Intelligent Systems and Computing, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-319-42972-4_41
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DOI: https://doi.org/10.1007/978-3-319-42972-4_41
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